As the ID 3 method can handle the non numerical value feature patterns and has the function that can learn decision rules from samples, the application of the proposed method to some realistic samples shows that the ID 3 method fit for transformer fault diagnosis perfectly.

The programmability of parallel programs is one of the difficulties of parallel computing, and it is more difficult to get parallel programs of non numerical problems by using traditional programming methods.

Also described is the process of using the mentioned method to solve problems and get parallel programs through the two case studies of a simple numerical problem and a complicated non numerical problem.

By employing decision tree to build the model of electric power grid fault diagnosis,fault sample with non numerical and inaccuracy values can be processed,diagnosis result can be learned when information is corrupted,erroneous and even missing because of its strong fault tolerant ability and better adaptive capability.

A fuzzy method in the analysis of structure importance for fault tree was put forward in this paper by introducting the concept of fuzzy entropy. It is a pattern recognition method based on non numerical characteristic mode, and its basic events can be multiple expressions. It is especially fit for large mode structure, and the logical problem too.

This paper introduced a new inverted matrix multiple operation and a new matrix project operetion and its application in non numerical computation,and gave a data structure of egual value as well as a relation model,and appraised applicable effect.

LISP primitive and basic LISP function, described in the first part of this article, are the simplest manipulation of LISP language and symbols and lists processing. They are analogous to the elementary calculation in algorithmic language, like addition, subtraction, multiplication and division etc,. Yet, the procedure in actual processing needs various strongly practicable LISP functions with stronger abilities and more complicated forms. Therefore, in LISP programming, it is necessary to augment these simple...

LISP primitive and basic LISP function, described in the first part of this article, are the simplest manipulation of LISP language and symbols and lists processing. They are analogous to the elementary calculation in algorithmic language, like addition, subtraction, multiplication and division etc,. Yet, the procedure in actual processing needs various strongly practicable LISP functions with stronger abilities and more complicated forms. Therefore, in LISP programming, it is necessary to augment these simple primitive and basic functons by continuously defining and rewriting new functions. Only in this way can we efficiently solve all kinds of non-numerical calculating problems.The second part of this article is written for those readers-unfamiliar with non-numerical processing,while having a knowledge of algorithmic language. It introduces, in more details, the forms of definition and characteristics of A function, recursive function and procedure function. It also points out the method of defining and generating new LISP functions by using them. This part gives niany examples of commonly used MINI-LISP functions and their executions. It also comments on and analyses the coding of these functins and their executive procedure. What should be pointed out is that the functions of LISP function, quoted and described in this part, are limited. It is not all-inclusive or exhaustive. To solve the complex problems like symbols and lists processing, artificial intelligence and data base systems design, etc., relevant LISP function should be chosen and defined, according to the actual cases of all sorts of application problems .Yet, even for the same application problems, the styles of LISP function definition (LISP programming) may vary from one user to another, for LISP programmers can choose different function definition methods and quote different functions, trains of thought and different habits. A LISP programming procedure should be like this: first of all, the user should change the problem into a kind of symbols (or lists) processing and design a non-numerical algorithm, then, according to the algorithm, by using the function defined earlier and the three above-described function definition methods, continuously define and generate groups of new functions. A LISP application program is: combining and listing the numerous LISP functions in parentheses, defining the outer-most LISP function by simply calling these functions, assigning real parameter to dummy argument, and then solving the problem.The third part of this article will give details about application examples of LISP language in symbols processing, artificial intelligence and data base systems design.

This paper introduced a new inverted matrix multiple operation and a new matrix project operation. Their application in non-numerical computation were discussed as well a study of a data structure which equals a relation model.

本文将介绍一种矩阵倒置积新运算和一种矩阵倒投影新运算,接着讨论它们在非数值计算中的应用。此外,还着重研完了一种能与关系模型等价的数据结构。

This paper introduced a new inverted matrix multiple operation and a new matrix project operetion. Their application in non-numerical computation were discussed as well a study of a data structure which equals a relation model.